# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at

#     http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# from ppsci.data.process.postprocess import *
import copy

from paddle import vision

from ppsci.data.process.transform.preprocess import Scale
from ppsci.data.process.transform.preprocess import Translate

__all__ = ["Scale", "Translate", "build_transforms"]


def build_transforms(cfg):
    if not cfg:
        return vision.Compose([])
    cfg = copy.deepcopy(cfg)

    transform_list = []
    for _item in cfg:
        transform_cls = next(iter(_item.keys()))
        transform_cfg = _item[transform_cls]
        transform = eval(transform_cls)(**transform_cfg)
        transform_list.append(transform)

    return vision.Compose(transform_list)
